MIT and Mecalux launch a groundbreaking project to accelerate logistics innovation

Press Release 3 December’ 2024

The Massachusetts Institute of Technology Center for Transportation & Logistics(MIT CTL) and intralogistics group Mecalux have kicked off a five-year collaborative project to expedite the integration of self-learning artificial intelligence (AI) in logistics. Through MIT’s Intelligent Logistics Systems Lab, the two institutions will explore new applications of AI models with significant potential for businesses and society.

“The objective of our collaboration with Mecalux is to foster disruptive innovation and achieve two highly impactful use cases where AI transforms industry decision-making. We will train complex self-learning machine learning models to ultimately reduce costs, lower carbon footprints and improve service quality for customers,” says Dr. Matthias Winkenbach, Director of Research at MIT CTL and the Intelligent Logistics Systems Lab.

In the first year of this cutting-edge project, the teams at the Intelligent Logistics Systems Lab and Mecalux will develop two key research areas to accelerate innovation. The first will focus on increasing the productivity of autonomous warehouse robots. Using advanced simulation, optimisation and machine learning techniques, researchers will develop a “swarm intelligence” system enabling multiple robots to operate as a single entity, making collective decisions. “We aim to create a new generation of autonomous robots that learn from human behaviour to foster greater collaboration and efficiency in warehouses,” says Winkenbach.

The second research area will centre on training self-learning AI models. The Intelligent Logistics Systems Lab will design systems capable of learning from demand patterns and anticipating new customer purchasing habits. “Current distribution systems fail to account for the full complexity of logistics networks and often make strong simplifying assumptions. This project seeks to help companies operating large networks of warehouses, distribution centres and stores automatically determine the most efficient way to fulfil each order taking into account the real-time status of the distribution network,” says Winkenbach.

This research partnership between MIT CTL and Mecalux will help logistics experts, warehouse staff and carriers perform their jobs with maximum precision. “Having contributed to founding MIT’s Intelligent Logistics Systems Lab, Mecalux has leveraged its practical expertise in warehousing and its software and automation experts to support MIT’s research. The goal is to transform companies’ logistics operations to achieve greater efficiency,” says Javier Carrillo, CEO of warehouse technology company Mecalux.
About the MIT Center for Transportation & Logistics (CTL)

Founded in 1973, the MIT Center for Transportation & Logistics is a dynamic environment where industry leaders, professors and students pool their knowledge and experience to advance supply chain education and research. MIT CTL’s more than 80 researchers and faculty members from multiple disciplines seek to deliver solutions that help organisations and societies to thrive. ctl.mit.edu

About Mecalux
Mecalux is a warehouse technology and intralogistics software enterprise. With over 55 years of experience, the company develops automated storage solutions, warehouse management software and metal racking systems for all sectors. The Mecalux Group has an extensive worldwide distribution network, 12 manufacturing plants, seven R&D centres for technological development and a workforce of more than 5,500 employees. www.mecalux.com